Title :
A criterion for joint optimization of identification and robust control
Author :
Bayard, D.S. ; Yam, Y. ; Mettler, E.
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
fDate :
7/1/1992 12:00:00 AM
Abstract :
A criterion for system identification is developed that is consistent with the intended use of the fitted model for modern robust control synthesis. Specifically, a joint optimization problem is posed which simultaneously solves the plant model estimate and control design, so as to optimize robust performance over the set of plants consistent with a specified experimental data set
Keywords :
control system synthesis; identification; optimisation; control system synthesis; identification; joint optimization; plant model estimate; robust control synthesis; robust performance; Control design; Control system synthesis; Design optimization; MIMO; Optimization methods; Propulsion; Robust control; Space technology; System identification; Uncertainty;
Journal_Title :
Automatic Control, IEEE Transactions on
